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JOB REPORT / 15-1253 · 30 TASKS

Software Quality Assurance Analysts and Testers.

Can AI do the work of Software Quality Assurance Analysts and Testers?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

Drag the dot. There’s no wrong answer; it starts at our estimate.

Starting pointOur estimate

The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Develop testing programs that address areas
  • Document test procedures to ensure replicability and compliance…
  • Design test plans, scenarios, scripts, or procedures

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A guided certificate program in AI-assisted Software Quality Assurance Analysts and Testers work. It covers the 29 AI-affected parts of your job and ends in a capstone a person reviews.

WHAT WE LOOKED AT

Your job, task by task.

29 of 30 tasks reviewed

This job has 30 core tasks. We went through 29 of them, one at a time.

Task by task, from the work Software Quality Assurance Analysts and Testers actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    Develop testing programs that address areas such as database impacts, software scenarios, regression testing, negative testing, error or bug retests, or usability.

    AI DOES

    Drafts test plans, generates test case ideas, writes regression and negative test scenarios from requirements

    YOU DO

    Judge which risks matter most and tailor the plan to real user behavior and business goals

  2. TASK 02

    Document test procedures to ensure replicability and compliance with standards.

    AI DOES

    Drafts structured test procedure documents, suggests standard formats, and fills in boilerplate compliance language

    YOU DO

    Verify every step reflects real system behavior and meets your team's specific compliance rules

  3. TASK 03

    Design test plans, scenarios, scripts, or procedures.

    AI DOES

    Drafts test plans, generates test scenarios, and suggests edge cases from requirements or code

    YOU DO

    Decide which risks matter most and tailor tests to how real users actually behave

  4. TASK 04

    Conduct historical analyses of test results.

    AI DOES

    Scans large test result datasets, spots failure patterns, and generates trend summaries

    YOU DO

    Judge which patterns actually matter and decide what action the team should take

  5. TASK 05

    Identify, analyze, and document problems with program function, output, online screen, or content.

    AI DOES

    Scans code and logs for errors, generates bug report drafts, and flags known issue patterns

    YOU DO

    Decide which bugs truly hurt users and set fix priorities

  6. TASK 06

    Install, maintain, or use software testing programs.

    AI DOES

    Generates test scripts, suggests tool configurations, and flags common setup issues

    YOU DO

    Decide what matters most to test and judge whether results mean real problems

  7. TASK 07

    Develop or specify standards, methods, or procedures to determine product quality or release readiness.

    AI DOES

    Drafts quality criteria, test templates, and release checklists based on best practices

    YOU DO

    Decide what standards actually fit your product, team risk tolerance, and real user needs

  8. TASK 08

    Conduct software compatibility tests with programs, hardware, operating systems, or network environments.

    AI DOES

    Generates test cases, runs automated compatibility checks, and summarizes failure patterns

    YOU DO

    Decide which environment combos are most important and interpret unexpected failures

  9. TASK 09

    Identify program deviance from standards, and suggest modifications to ensure compliance.

    AI DOES

    Scans code, logs, and docs to spot rule violations and draft fix suggestions

    YOU DO

    Judge which deviations actually matter and pick the right fix for the situation

  10. TASK 10

    Install and configure recreations of software production environments to allow testing of software performance.

    AI DOES

    Generates setup scripts, config files, and troubleshooting steps for environment builds

    YOU DO

    Verify the environment truly mirrors production and catch edge-case setup failures

  11. TASK 11

    Plan test schedules or strategies in accordance with project scope or delivery dates.

    AI DOES

    Drafts test plan templates, suggests coverage strategies, and flags schedule risks based on scope inputs

    YOU DO

    Judge team bandwidth, negotiate tradeoffs, and own final delivery commitments

  12. TASK 12

    Monitor program performance to ensure efficient and problem-free operations.

    AI DOES

    Scans logs, spots anomalies, and sends performance alerts in real time

    YOU DO

    Decide which alerts are real problems and choose the right fix

  13. TASK 13

    Investigate customer problems referred by technical support.

    AI DOES

    Scans error logs, matches known bug patterns, and drafts a summary of likely issues

    YOU DO

    Verify the real root cause and decide next steps with the customer in mind

  14. TASK 14

    Participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential problems.

    AI DOES

    Summarizes requirement docs, spots gaps or conflicts in specs, and suggests common risk areas to raise

    YOU DO

    Show up, read the room, and push back when something feels off

  15. TASK 15

    Coordinate user or third-party testing.

    AI DOES

    Drafts test plans, writes communication templates, and summarizes feedback from testers

    YOU DO

    Build relationships with users and make judgment calls when testing goes sideways

  16. TASK 16

    Collaborate with field staff or customers to evaluate or diagnose problems and recommend possible solutions.

    AI DOES

    Summarizes reported problems, searches known bug databases, and drafts solution options

    YOU DO

    Listen carefully to customers, ask follow-up questions, and judge which fix fits their real situation

  17. TASK 17

    Recommend purchase of equipment to control dust, temperature, or humidity in area of system installation.

    AI DOES

    Researches equipment options, compares specs, and drafts purchase recommendation reports

    YOU DO

    Visit the site, assess real conditions, and take responsibility for the final call

  18. TASK 18SOURCE-BACKED TASK

    Modify existing software to correct errors, allow it to adapt to new hardware, or to improve its performance.

    AI DOES

    Generates code fixes and performance optimizations

    YOU DO

    Decide which changes to trust and deploy

    About this analysis

    61% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  19. TASK 19SOURCE-BACKED TASK

    Test system modifications to prepare for implementation.

    AI DOES

    Runs automated tests and flags potential issues

    YOU DO

    Decide which risks matter most

    About this analysis

    59% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  20. TASK 20SOURCE-BACKED TASK

    Perform initial debugging procedures by reviewing configuration files, logs, or code pieces to determine breakdown source.

    AI DOES

    Scans logs and configs to flag likely error sources

    YOU DO

    Decide which leads matter most

    About this analysis

    56% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  21. TASK 21SOURCE-BACKED TASK

    Design or develop automated testing tools.

    AI DOES

    Generates test scripts and basic automation frameworks

    YOU DO

    Design the testing strategy and architecture

    About this analysis

    54% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  22. TASK 22SOURCE-BACKED TASK

    Document software defects, using a bug tracking system, and report defects to software developers.

    AI DOES

    Generates bug reports from crash logs and screenshots

    YOU DO

    Decide priority and assign to right developer

    About this analysis

    45% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  23. TASK 23SOURCE-BACKED TASK

    Monitor bug resolution efforts and track successes.

    AI DOES

    Tracks bug status and generates progress reports

    YOU DO

    Judge priority shifts and team blockers

    About this analysis

    42% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  24. TASK 24SOURCE-BACKED TASK

    Store, retrieve, and manipulate data for analysis of system capabilities and requirements.

    AI DOES

    Queries databases and formats data automatically

    YOU DO

    Design the right questions to ask

    About this analysis

    36% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  25. TASK 25SOURCE-BACKED TASK

    Review software documentation to ensure technical accuracy, compliance, or completeness, or to mitigate risks.

    AI DOES

    Scans docs for gaps and flags potential issues

    YOU DO

    Judge what risks matter most

    About this analysis

    36% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  26. TASK 26SOURCE-BACKED TASK

    Create or maintain databases of known test defects.

    AI DOES

    Logs defects and suggests duplicate matches

    YOU DO

    Decide priority and root cause

    About this analysis

    32% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  27. TASK 27SOURCE-BACKED TASK

    Update automated test scripts to ensure currency.

    AI DOES

    Suggests script updates based on code changes

    YOU DO

    Decide which tests truly matter

    About this analysis

    32% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  28. TASK 28SOURCE-BACKED TASK

    Evaluate or recommend software for testing or bug tracking.

    AI DOES

    Compares features and generates recommendation reports

    YOU DO

    Judge what fits your team's workflow

    About this analysis

    29% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  29. TASK 29SOURCE-BACKED TASK

    Provide feedback and recommendations to developers on software usability and functionality.

    AI DOES

    Scans code and suggests common usability improvements

    YOU DO

    Judge user needs and priority fixes

    About this analysis

    20% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.

Can AI do the work of Software Quality Assurance Analysts and Testers? — rtwoai